CN106372059A - Information input method and information input device - Google Patents
Information input method and information input device Download PDFInfo
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- CN106372059A CN106372059A CN201610770021.0A CN201610770021A CN106372059A CN 106372059 A CN106372059 A CN 106372059A CN 201610770021 A CN201610770021 A CN 201610770021A CN 106372059 A CN106372059 A CN 106372059A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/632—Query formulation
- G06F16/634—Query by example, e.g. query by humming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0236—Character input methods using selection techniques to select from displayed items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0237—Character input methods using prediction or retrieval techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/04817—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/0482—Interaction with lists of selectable items, e.g. menus
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/274—Converting codes to words; Guess-ahead of partial word inputs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/1815—Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2201/00—Electronic components, circuits, software, systems or apparatus used in telephone systems
- H04M2201/34—Microprocessors
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2201/00—Electronic components, circuits, software, systems or apparatus used in telephone systems
- H04M2201/40—Electronic components, circuits, software, systems or apparatus used in telephone systems using speech recognition
Abstract
The invention discloses an information input method and an information input device. A specific implementation way of the method comprises the following steps: receiving a voice message input by a user, wherein the voice message is associated with the content which is input into an input area of an application; taking the emoticon pictures associated with the voice message as candidate results, wherein the emoticon pictures include multiple emoticon pictures of which the times being input by the user into the input area of the application among the history input of the voice message associated with the voice message semantics is greater than the times threshold; and inputting the emoticon picture selected by the user from the candidate results into the input area of the application. The semantics of voice input of the user can be accurately understood during the voice input of the user, matching emoticon pictures are intelligently recommended according to the talk content and emotion, the user is helped to quickly input the emoticon picture, and the complicated operation for finding the emoticon picture by the user is shortened, so that convenience is provided for the user.
Description
Technical field
The application is related to computer realm and in particular to input method field, more particularly, to data inputting method and device.
Background technology
At present, some input methods provide the function of phonetic entry.User carried out using input method speech voice input function defeated
Fashionable, generally using by the way of be: the voice of input is converted into after sentence and is inputted.
However, when employing mode carries out phonetic entry it is impossible to meet such as user input when in different situations
Need to input the demand of different types of expression picture, speech voice input function is more single.
Content of the invention
This application provides data inputting method and device, ask for solving the technology that above-mentioned background section exists
Topic.
In a first aspect, this application provides data inputting method, the method includes: the voice messaging of receiving user's input,
Voice messaging is associated with the content of the input area to be input to application；Using the expression picture being associated with voice messaging as
Candidate result, expression picture includes: the history input of the voice messaging that multiple users are associated with voice messaging semanteme in input
In be input to application input area number of times be more than frequency threshold value expression picture；User is selected from candidate result
Expression picture is input in the input area of application.
Second aspect, this application provides message input device, this device includes: receiving unit, is configured to receive and uses
The voice messaging of family input, voice messaging is associated with the content of the input area to be input to application；Choose unit, configuration is used
In the expression picture being associated with voice messaging as candidate result, expression picture includes: multiple users are in input and voice
The number of times of the input area being input to application in the history input of the voice messaging that information semantic is associated is more than frequency threshold value
Expression picture；Input block, the expression picture being configured to select user from candidate result is input to the input of application
In region.
Data inputting method and device that the application provides, by the voice messaging of receiving user's input, voice messaging with
Content to be input to the input area of application is associated；Using the expression picture being associated with voice messaging as candidate result,
Expression picture includes: multiple users are input in the history input of the voice messaging that input is associated with voice messaging semanteme should
The number of times of input area is more than the expression picture of frequency threshold value；The expression picture that user is selected from candidate result is defeated
Enter in the input area of application.Achieve when user passes through phonetic entry, can precisely understand the language of user speech input
Justice, according to the content spoken, emotion, the expression picture of intelligent recommendation coupling, helps user to carry out the defeated of quick expression picture
Enter, shorten the troublesome operation that user searches expression picture, provide the user facility.
Brief description
By reading the detailed description that non-limiting example is made made with reference to the following drawings, other of the application
Feature, objects and advantages will become more apparent upon:
Fig. 1 is the exemplary system architecture figure of the embodiment that can apply to the data inputting method of the application or device；
The flow chart that Fig. 2 shows an embodiment of the data inputting method according to the application；
The flow chart that Fig. 3 shows another embodiment of the data inputting method according to the application；
Fig. 4 shows a structural representation of the message input device according to the application；
Fig. 5 is adapted for the structural representation of the computer system of the message input device for realizing the embodiment of the present application.
Specific embodiment
With reference to the accompanying drawings and examples the application is described in further detail.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to this invention.It also should be noted that, in order to
It is easy to describe, in accompanying drawing, illustrate only the part related to about invention.
It should be noted that in the case of not conflicting, the embodiment in the application and the feature in embodiment can phases
Mutually combine.To describe the application below with reference to the accompanying drawings and in conjunction with the embodiments in detail.
Fig. 1 shows the exemplary system architecture of the embodiment of the data inputting method or device that can apply to the application
100.
As shown in figure 1, system architecture 100 can include terminal unit 101,102,103, network 104 server 105.
Network 104 is in order to provide the medium of transmission link between terminal unit 101,102,103 server 105.Network 104 is permissible
Including various connection types, such as wired, wireless transmission link or fiber optic cables etc..
User can be interacted with server 105 by network 104 with using terminal equipment 101,102,103, to receive or to send out
Send message etc..On terminal unit 101,102,103, various communication applications can be installed, for example, input method class application, browser
Class application, searching class application, the application of word processing class etc..
Terminal unit 101,102,103 can be the various electronic equipments having display screen and supporting network service, bag
Include but be not limited to smart mobile phone, panel computer, E-book reader, Mp 3 player (moving picture experts
Group audio layer iii, dynamic image expert's compression standard audio frequency aspect 3), mp4 (moving picture
Experts group audio layer iv, dynamic image expert's compression standard audio frequency aspect 4) player, on knee portable
Computer and desk computer etc..
Server 105 can obtain the expression picture of magnanimity, to the input method class application on terminal unit 101,102,103
Send the expression picture of magnanimity.Input method class application in terminal 101,102,103 can record the voice messaging of user input,
Set up the corresponding relation of voice messaging and the expression picture of upper screen.
It should be understood that the terminal unit in Fig. 1, the number of network server are only schematically.According to realizing need
Will, can have any number of terminal unit, network server.
Refer to Fig. 2, it illustrates the flow process 200 of the embodiment of data inputting method according to the application.Need
Illustrate, the data inputting method that the embodiment of the present application is provided can be held by the terminal unit 101,102,103 in Fig. 1
OK, correspondingly, message input device can be arranged in terminal unit 101,102,103.The method comprises the following steps:
Step 201, the voice messaging of receiving user's input.
In the present embodiment, the voice messaging of user is associated with the content of the input area to be input to application.For example,
Between user when by instant messaging application chat, need in the input area input content of instant communication applications, can
With by voice-input device such as microphone input voice messaging.
Step 202, using the expression picture being associated with voice messaging as candidate result.
In the present embodiment, the expression picture being associated with the voice messaging of user input is included: multiple users are in input
The number of times of the input area being input to application in the history input of the voice messaging being associated with voice messaging semanteme is more than number of times
The expression picture of threshold value.
In the present embodiment, can be by multiple users in the associated voice messaging of input semanteme, in selection, screen compares
Many expression pictures recommend the user of current input voice information as candidate result.
In some optional implementations of the present embodiment, also include: obtain the history input information of multiple users, go through
History input information includes: history input in input voice messaging, be input to application input area expression picture；Determine language
The associated plurality of voice messaging of justice；It is polymerized the corresponding expression picture of semantic associated plurality of voice messaging；From expression picture
In select corresponding input number of times be more than frequency threshold value expression picture.
In the present embodiment, in order to during passing through phonetic entry in user by the expression figure being associated with voice messaging
Piece, as candidate result, is recommended expression picture to user, can be pre-build voice messaging and the magnanimity of the user input of magnanimity
Expression picture corresponding relation.
In the present embodiment, the user in step 201 may refer to the user of current input voice information.Can pass through
Before step 201 receives the voice messaging of active user's input, obtain mass users in advance and once inputted in history input
Voice messaging and select to be input to the input area (input area of such as instant messaging application of application during input voice information
Domain) the expression picture i.e. expression picture of upper screen.Semantic associated language can be found out from the history input of mass users
Message ceases, and obtains multiple voice messaging set.The voice comprising multiple user inputs in each voice messaging set is associated
Voice messaging.Meanwhile, when can be polymerized voice messaging in input voice information set for multiple users, the upper screen of selection
Expression picture, obtains expression picture set.
It is thus possible to set up the voice messaging set being made up of semantic associated voice messaging and expression picture set
Corresponding relation, each voice messaging set corresponds to an expression picture set.Voice messaging set and expression picture set
Corresponding relation can represent multiple users in the associated voice messaging of input semanteme, have selected on which expression picture
Screen.It is more than frequency threshold value it is possible to further find out upper screen number of times in voice messaging set corresponding expression picture set
Expression picture.Find out multiple users in the associated voice messaging of input semanteme, selection is shielded more expression figures
Piece.
Pre-build the voice messaging of the user input setting up magnanimity and the expression picture of magnanimity corresponding relation it
Afterwards, when the active user in step 201 carries out phonetic entry, can find out related to the voice messaging of active user's input
The voice messaging of connection, determines the voice messaging set belonging to the voice messaging being associated with the voice messaging of active user's input.
It is then possible to find out the expression figure that upper screen number of times in voice messaging set corresponding expression picture set is more than frequency threshold value
Piece.Find out multiple users in the associated voice messaging of input semanteme, the more pictures of upper screen are as candidate result.
For example, multiple users pass through phonetic entry " good spare time ", " this week work is fulfiled ahead of schedule " etc. in history input
During the voice messaging that semanteme is associated, the expression picture of upper screen is the expression picture " coffee " of light type, that is, input number of times
Expression picture " coffee " more than frequency threshold value.
When the user in step 201 passes through phonetic entry " easily Friday afternoon " in current input, due to " easily
Friday afternoon " associate to " good spare time ", the semantic related of " this week work is fulfiled ahead of schedule ", can be by " well not busy ", " this week
Work is fulfiled ahead of schedule " expression picture of corresponding upper screen is that expression picture " coffee " recommends current input as candidate result
The user of voice messaging.
Step 203, the expression picture that user is selected from candidate result is input in the input area of application.
In the present embodiment, by step 202 using the expression picture being associated with voice messaging as candidate result it
Afterwards, can be input in the input area of application with the expression picture that user selects from candidate result.I.e. user can choose
Find out multiple users in the voice messaging that input is associated with the semanteme being inputted by step 201, the more figures of upper screen
Piece is input in the input area of application as candidate result.
For example, when being chatted by instant messaging application between user, the voice messaging of active user's input is " easily
Friday afternoon " believe with the voice such as the voice messaging " good spare time " of multiple user inputs before, " this week work is fulfiled ahead of schedule "
Breath is semantically related, and multiple users believe in the voice such as input " good spare time ", " this week work is fulfiled ahead of schedule " before
On selecting during breath, the expression picture of screen is expression picture " coffee ", and that is, the number of times of upper screen is more than frequency threshold value, then candidate result
Expression picture " coffee " can be comprised.The user currently passing through phonetic entry " easily Friday afternoon " can be from candidate result
Expression picture " coffee " is selected to carry out upper screen.
In the present embodiment, above-mentioned steps 201-203 in the present embodiment can be executed by input method.Input method can be
When user passes through phonetic entry, precisely understand the semanteme of user speech input, according to the content spoken, emotion, intelligent recommendation
The expression picture joined, helps user to carry out the input of quick expression picture, shortens the loaded down with trivial details behaviour that user searches expression picture
Make, provide the user facility.
Refer to Fig. 3, it illustrates the flow process 300 of another embodiment of data inputting method according to the application.Need
It is noted that the data inputting method that the embodiment of the present application is provided can be held by the terminal unit 101,102,103 in Fig. 1
OK.The method comprises the following steps:
Step 301, the voice messaging of receiving user's input.
In the present embodiment, the voice messaging of user is associated with the content of the input area to be input to application.For example,
When user needs in the input area input content of application, can be by voice-input device such as microphone input voice letter
Breath.
Step 302, the expression picture that semantics recognition result corresponding with voice messaging is associated is as candidate result.
In the present embodiment, after the voice messaging by step 301 receiving user's input, voice messaging can be entered
Row semantics recognition, obtains the corresponding sentence of voice messaging.It is then possible to semantic knowledge is carried out using rule match mode to sentence
Not, obtain semantics recognition result.
In the present embodiment, can be so that semantic knowledge be carried out using rule match mode to the corresponding sentence of voice messaging of input
Not, obtain semantics recognition result.Semantics recognition result includes: the profile of mood state of the mood of instruction user.For example, it is possible to set in advance
Put the rule match masterplate comprising with the key word of the profile of mood state of instruction user, for the mood of the different type of user, if
Put the rule match masterplate of corresponding type.When the corresponding sentence of the voice messaging of user input and rule match stencil matching
When, then the profile of mood state of the mood of user can be determined according to the type of rule match masterplate.
In the present embodiment, the corresponding relation of each profile of mood state and expression picture can be pre-build.According to each
The corresponding relation of kind of profile of mood state and expression picture, determines by carrying out what semantics recognition obtained to the voice messaging of user input
The corresponding expression picture of profile of mood state of the mood of user.It is thus possible to using corresponding for profile of mood state expression picture as candidate
Result.For example, during user input " good spare time ", semantics recognition can be passed through, identify that the profile of mood state of the mood of user is light
Conifer type, can be using the expression picture belonging to light type such as expression picture " coffee " as candidate result.
In the present embodiment, the corresponding relation of magnanimity expression picture and profile of mood state can be set up in the following ways: pre-
First obtain multiple expression pictures, multiple expression pictures are labeled, obtain the markup information of expression picture, the mark of expression picture
Note information can indicate the profile of mood state of the mood of the corresponding user of expression picture.For example, it is possible to the mood by the mood of user
The happy Type division of type is especially happy, more happy etc. subtype.Can be by the use of expression picture and markup information as sample
Notebook data, is trained to deep learning model.For example, it is possible to by the expression picture of each happy for profile of mood state subtype and
The markup information of the expression picture of each subtype, as sample data, is trained to deep learning model.Using multiple
After the markup information of expression picture and multiple expression picture is trained to deep learning model, deep learning model can be learned
Practise the feature of expression picture and the corresponding relation of profile of mood state.Can be using the deep learning Model Identification magnanimity table after training
The corresponding profile of mood state of feelings picture, sets up the corresponding relation of magnanimity expression picture and profile of mood state.
In the present embodiment, the user in step 301 may refer to the user of current input voice information.Can pass through
Before step 301 receives the voice messaging of active user's input, obtain mass users in advance and once inputted in history input
Voice messaging and select to be input to the input area (input area of such as instant messaging application of application during input voice information
Domain) the expression picture i.e. expression picture of upper screen.Semantic associated language can be found out from the history input of mass users
Message ceases, and obtains multiple voice messaging set.The voice comprising multiple user inputs in each voice messaging set is associated
Voice messaging.Meanwhile, when can be polymerized voice messaging in input voice information set for multiple users, the upper screen of selection
Expression picture, obtains expression picture set.
It is thus possible to set up the voice messaging set being made up of semantic associated voice messaging and expression picture set
Corresponding relation, each voice messaging set corresponds to an expression picture set.Voice messaging set and expression picture set
Corresponding relation can represent multiple users in the associated voice messaging of input semanteme, have selected on which expression picture
Screen.It is more than frequency threshold value it is possible to further find out upper screen number of times in voice messaging set corresponding expression picture set
Expression picture.Find out multiple users in the associated voice messaging of input semanteme, selection is shielded more expression figures
Piece.
Pre-build the voice messaging of the user input setting up magnanimity and the expression picture of magnanimity corresponding relation it
Afterwards, when the active user in step 301 carries out phonetic entry, can find out related to the voice messaging of active user's input
The voice messaging of connection, determines the voice messaging set belonging to the voice messaging being associated with the voice messaging of active user's input.
It is then possible to find out the expression figure that upper screen number of times in voice messaging set corresponding expression picture set is more than frequency threshold value
Piece.Find out multiple users in the associated voice messaging of input semanteme, the more pictures of upper screen are as candidate result.
For example, multiple users pass through phonetic entry " good spare time ", " this week work is fulfiled ahead of schedule " etc. in history input
During semantic associated voice messaging, can pass through semantics recognition, the profile of mood state identifying user is light type it is recommended that gently
The expression picture of conifer type, as candidate result, comprises expression picture " coffee " in the expression picture of light type.When input is " good
The use of the semantic associated voice messaging such as spare time ", " this week work is fulfiled ahead of schedule " selects on expression picture " coffee " per family
The expression picture " coffee " of screen in user's selection during screen, can be recorded.
Thus, when the active user in step 301 passes through phonetic entry " easily Friday afternoon ", due to active user
Semanteme by " the easily Friday afternoon " of phonetic entry and the voice messaging such as " good spare time ", " this week work is fulfiled ahead of schedule "
Associated, can be by the expression picture " coffee of the corresponding upper screen of voice messaging such as " good spare time ", " this week work is fulfiled ahead of schedule "
The user currently passing through phonetic entry " easily Friday afternoon " recommended by coffee " as candidate result.
Step 303, the expression picture that user is selected from candidate result is input in the input area of application.
In the present embodiment, by step 302 using the expression picture being associated with voice messaging as candidate result it
Afterwards, can be input in the input area of application with the expression picture that user selects from candidate result.I.e. user can choose
Find out multiple users in the voice messaging that input is associated with the semanteme being inputted by step 301, the more figures of upper screen
Piece is input in the input area of application as candidate result.
For example, when being chatted by instant messaging application between user, the voice messaging of active user's input is " easily
Friday afternoon " believe with the voice such as the voice messaging " good spare time " of multiple user inputs before, " this week work is fulfiled ahead of schedule "
Breath is semantically related, and multiple users believe in the voice such as input " good spare time ", " this week work is fulfiled ahead of schedule " before
On selecting during breath, the expression picture of screen is expression picture " coffee ", and that is, the number of times of upper screen is more than frequency threshold value, then candidate result
Expression picture " coffee " can be comprised.Active user can select candidate when by semantic input " easily Friday afternoon "
Expression picture " coffee " in result carries out upper screen.
In the present embodiment, above-mentioned steps 301-303 in the present embodiment can be executed by input method.Input method can be
When user passes through phonetic entry, precisely understand the semanteme of user speech input, according to the content spoken, emotion, intelligent recommendation
The expression picture joined, helps user to carry out the input of quick expression picture, shortens the loaded down with trivial details behaviour that user searches expression picture
Make, provide the user facility.
Refer to Fig. 4, as the realization to method shown in above-mentioned each figure, this application provides a kind of message input device
One embodiment, this device embodiment is corresponding with the embodiment of the method shown in Fig. 2, and this device specifically can apply to various electricity
In sub- equipment.
As shown in figure 4, the message input device 400 of the present embodiment includes: receiving unit 401, choose unit 402, input
Unit 403.Wherein, receiving unit 401 is configured to the voice messaging of receiving user's input, voice messaging with to be input to application
Input area content be associated；Choose unit 402 to be configured to the expression picture being associated with voice messaging as time
Select result, expression picture includes: multiple users are in the history input of the voice messaging that input is associated with voice messaging semanteme
The number of times being input to the input area of application is more than the expression picture of frequency threshold value；Input block 403 be configured to by user from
The expression picture selecting in candidate result is input in input area.
In some optional implementations of the present embodiment, device 400 also includes: voice recognition unit (not shown),
It is configured to, before the expression picture being associated with voice messaging is as candidate result, carry out voice knowledge to voice messaging
Not, obtain the corresponding sentence of voice messaging；Semantics recognition unit (not shown), is configured to using rule match mode to sentence
Carry out semantics recognition, obtain semantics recognition result, semantics recognition result includes: the profile of mood state of the mood of instruction user；Expression
Picture determine unit (not shown), is configured to corresponding for profile of mood state expression picture as the table being associated with voice messaging
Feelings picture.
In some optional implementations of the present embodiment, device 400 also includes: information acquisition unit (not shown),
It is configured to obtain the markup information of multiple expression pictures, markup information indicates the corresponding profile of mood state of expression picture；Training is single
First (not shown), is configured to, by the use of expression picture and markup information as sample data, deep learning model is trained；
Expression type identification unit (not shown), the deep learning Model Identification magnanimity expression picture after being configured to using training corresponds to
Profile of mood state；Set up unit, be configured to set up the corresponding relation of magnanimity expression picture and profile of mood state.
In some optional implementations of the present embodiment, device 400 also includes: history input information acquiring unit
(not shown), is configured to obtain the history input information of multiple users, history before the voice messaging of receiving user's input
Input information includes: history input in input voice messaging, be input to application input area expression picture；Association voice
Information determination unit (not shown), is configured to determine semantic associated plurality of voice messaging；Expression picture polymerized unit is (not
Illustrate), it is configured to be polymerized the corresponding expression picture of semantic associated plurality of voice messaging；Expression picture chooses unit (not
Illustrate), it is configured to select the expression picture that corresponding input number of times is more than frequency threshold value from expression picture.
In some optional implementations of the present embodiment, device 400 also includes: input method performance element (does not show
Go out), it is configured to the voice messaging using input method receiving user's input.
Fig. 5 shows the structural representation of the computer system being suitable to the message input device for realizing the embodiment of the present application
Figure.
As shown in figure 5, computer system 500 includes CPU (cpu) 501, it can be read-only according to being stored in
Program in memorizer (rom) 502 or be loaded into program random access storage device (ram) 503 from storage part 508 and
Execute various suitable actions and process.In ram503, the system that is also stored with 500 operates required various program datas.
Cpu501, rom502 and ram503 are connected with each other by bus 504.Input/output (i/o) interface 505 is also connected to bus
504.
Connected to i/o interface 505 with lower component: include the importation 506 of keyboard, mouse etc.；Penetrate including such as negative electrode
Spool (crt), liquid crystal display (lcd) etc. and the output par, c 507 of speaker etc.；Storage part 508 including hard disk etc.；
And include the communications portion 509 of the NIC of lan card, modem etc..Communications portion 509 via such as because
The network execution communication process of special net.Driver 510 connects to i/o interface 505 also according to needs.Detachable media 511, such as
Disk, CD, magneto-optic disk, semiconductor memory etc., are arranged in driver 510, as needed in order to read from it
Computer program as needed be mounted into storage part 508.
Especially, in accordance with an embodiment of the present disclosure, the process above with reference to flow chart description may be implemented as computer
Software program.For example, embodiment of the disclosure includes a kind of computer program, and it includes being tangibly embodied in machine readable
Computer program on medium, described computer program comprises the program code for the method shown in execution flow chart.At this
In the embodiment of sample, this computer program can be downloaded and installed from network by communications portion 509, and/or from removable
Unload medium 511 to be mounted.
Flow chart in accompanying drawing and block diagram are it is illustrated that according to the system of the various embodiment of the application, method and computer journey
The architectural framework in the cards of sequence product, function and operation.At this point, each square frame in flow chart or block diagram can generation
A part for one module of table, program segment or code, the part of described module, program segment or code comprises one or more
For realizing the executable instruction of the logic function of regulation.It should also be noted that in some realizations as replacement, institute in square frame
The function of mark can also be to occur different from the order being marked in accompanying drawing.For example, the square frame that two succeedingly represent is actual
On can execute substantially in parallel, they can also execute sometimes in the opposite order, and this is depending on involved function.Also to
It is noted that the combination of each square frame in block diagram and/or flow chart and the square frame in block diagram and/or flow chart, Ke Yiyong
Execute the function of regulation or the special hardware based system of operation to realize, or can be referred to computer with specialized hardware
The combination of order is realizing.
As another aspect, present invention also provides a kind of nonvolatile computer storage media, this non-volatile calculating
Machine storage medium can be the nonvolatile computer storage media included in device described in above-described embodiment；Can also be
Individualism, without the nonvolatile computer storage media allocated in terminal.Above-mentioned nonvolatile computer storage media is deposited
Contain one or more program, when one or more of programs are executed by an equipment so that described equipment: receive
The voice messaging of user input, described voice messaging is associated with the content of the input area to be input to application；Will with described
As candidate result, described expression picture includes the expression picture that voice messaging is associated: multiple users are in input and institute's predicate
The number of times of the input area being input to application in the history input of the voice messaging that sound information semantic is associated is more than frequency threshold value
Expression picture；The expression picture that described user is selected from candidate result is input in the input area of application.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member is it should be appreciated that involved invention scope is however it is not limited to the technology of the particular combination of above-mentioned technical characteristic in the application
Scheme, also should cover simultaneously in the case of without departing from described inventive concept, be carried out by above-mentioned technical characteristic or its equivalent feature
Combination in any and other technical schemes of being formed.Such as features described above has similar work(with (but not limited to) disclosed herein
The technical scheme that the technical characteristic of energy is replaced mutually and formed.
Claims (10)
1. a kind of data inputting method is it is characterised in that methods described includes:
The voice messaging of receiving user's input, described voice messaging is associated with the content of the input area to be input to application；
Using the expression picture being associated with described voice messaging as candidate result, described expression picture includes: multiple users exist
It is input to the number of times of the input area of application with described voice messaging semanteme in the history input of the voice messaging that input is associated
Expression picture more than frequency threshold value；
The expression picture that described user is selected from candidate result is input in the input area of application.
2. method according to claim 1 is it is characterised in that make in the expression picture being associated with described voice messaging
Before candidate result, methods described also includes:
Speech recognition is carried out to described voice messaging, obtains the corresponding sentence of voice messaging；
Semantics recognition is carried out to described sentence using rule match mode, obtains semantics recognition result, described semantics recognition result
Including: the profile of mood state of the mood of instruction user；
Using corresponding for described profile of mood state expression picture as the expression picture being associated with described voice messaging.
3. method according to claim 2 is it is characterised in that methods described also includes:
Obtain the markup information of multiple expression pictures, described markup information indicates the corresponding profile of mood state of expression picture；
By the use of described expression picture and described markup information as sample data, deep learning model is trained；
Using the corresponding profile of mood state of deep learning Model Identification magnanimity expression picture after training；
Set up the corresponding relation of magnanimity expression picture and profile of mood state.
4. method according to claim 3 is it is characterised in that before the voice messaging of receiving user's input, described side
Method also includes:
Obtain the history input information of multiple users, described history input information includes: history input in input voice messaging,
It is input to the expression picture of the input area of application；
Determine semantic associated plurality of voice messaging；
It is polymerized the corresponding expression picture of semantic associated plurality of voice messaging；
The expression picture that corresponding input number of times is more than frequency threshold value is selected from described expression picture.
5. method according to claim 4 is it is characterised in that the voice messaging of described receiving user's input includes:
Voice messaging using input method receiving user's input.
6. a kind of message input device is it is characterised in that described device includes:
Receiving unit, is configured to the voice messaging of receiving user's input, described voice messaging and the input to be input to application
The content in region is associated；
Choose unit, be configured to the expression picture being associated with described voice messaging as candidate result, described expression figure
Piece includes: multiple users are input to application in the history input of the voice messaging that input is associated with described voice messaging semanteme
Input area number of times be more than frequency threshold value expression picture；
Input block, the expression picture being configured to select described user from candidate result is input to the input area of application
In domain.
7. device according to claim 6 is it is characterised in that described device also includes:
Voice recognition unit, is configured to before the expression picture being associated with described voice messaging is as candidate result,
Speech recognition is carried out to described voice messaging, obtains the corresponding sentence of voice messaging；
Semantics recognition unit, is configured to carry out semantics recognition using rule match mode to described sentence, obtains semantics recognition
As a result, described semantics recognition result includes: the profile of mood state of the mood of instruction user；
Expression picture determining unit, be configured to using corresponding for described profile of mood state expression picture as with described voice messaging phase
The expression picture of association.
8. device according to claim 7 is it is characterised in that described device also includes:
Information acquisition unit, is configured to obtain the markup information of multiple expression pictures, and described markup information indicates expression picture
Corresponding profile of mood state；
Training unit, is configured to by the use of described expression picture and described markup information as sample data, to deep learning mould
Type is trained；
Expression type identification unit, the corresponding heart of deep learning Model Identification magnanimity expression picture after being configured to using training
Feelings type；
Set up unit, be configured to set up the corresponding relation of magnanimity expression picture and profile of mood state.
9. device according to claim 8 is it is characterised in that described device also includes:
History input information acquiring unit, is configured to, before the voice messaging of receiving user's input, obtain multiple users'
History input information, described history input information includes: the voice messaging inputting, the input area being input to application in history input
The expression picture in domain；
Association voice messaging determining unit, is configured to determine semantic associated plurality of voice messaging；
Expression picture polymerized unit, is configured to be polymerized the corresponding expression picture of semantic associated plurality of voice messaging；
Expression picture chooses unit, is configured to select corresponding input number of times from described expression picture more than frequency threshold value
Expression picture.
10. device according to claim 9 is it is characterised in that described device also includes:
Input method performance element, is configured to the voice messaging using input method receiving user's input.
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| JP2017023271A JP6718828B2 (en) | 2016-08-30 | 2017-02-10 | Information input method and device |
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| EP (1) | EP3291224A1 (en) |
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| CN109033423A (en) * | 2018-08-10 | 2018-12-18 | 北京搜狗科技发展有限公司 | Simultaneous interpretation caption presentation method and device, intelligent meeting method, apparatus and system |
| CN110910898A (en) * | 2018-09-15 | 2020-03-24 | 华为技术有限公司 | Voice information processing method and device |
| CN109525725A (en) * | 2018-11-21 | 2019-03-26 | 三星电子（中国）研发中心 | A kind of information processing method and device based on emotional state |
| CN109525725B (en) * | 2018-11-21 | 2021-01-15 | 三星电子（中国）研发中心 | Information processing method and device based on emotional state |
| CN109683726A (en) * | 2018-12-25 | 2019-04-26 | 北京微播视界科技有限公司 | Characters input method, device, electronic equipment and storage medium |
| CN109683726B (en) * | 2018-12-25 | 2022-08-05 | 北京微播视界科技有限公司 | Character input method, character input device, electronic equipment and storage medium |
| CN111489131A (en) * | 2019-01-25 | 2020-08-04 | 北京搜狗科技发展有限公司 | Information recommendation method and device |
| CN110149549A (en) * | 2019-02-26 | 2019-08-20 | 腾讯科技（深圳）有限公司 | The display methods and device of information |
| CN113297359A (en) * | 2021-04-23 | 2021-08-24 | 阿里巴巴新加坡控股有限公司 | Information interaction method and device |
| CN113297359B (en) * | 2021-04-23 | 2023-11-28 | 阿里巴巴新加坡控股有限公司 | Method and device for information interaction |
Also Published As
| Publication number | Publication date |
|---|---|
| US20180061407A1 (en) | 2018-03-01 |
| JP6718828B2 (en) | 2020-07-08 |
| EP3291224A1 (en) | 2018-03-07 |
| JP2018036621A (en) | 2018-03-08 |
| US10210865B2 (en) | 2019-02-19 |
| KR101909807B1 (en) | 2018-10-18 |
| KR20180025121A (en) | 2018-03-08 |
| CN106372059B (en) | 2018-09-11 |
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